Summary: 1
Spectrum Characterization for Opportunistic
Cognitive Radio Systems
Tevfik Y¨ucek and H¨useyin Arslan
Department of Electrical Engineering, University of South Florida
4202 E. Fowler Avenue, ENB-118, Tampa, FL, 33620
yucek@eng.usf.edu and arslan@eng.usf.edu
Abstract-- Spectrum sensing is one of the most challenging
problems in cognitive radio systems. The spectrum of interest
needs to be characterized and unused frequencies should be
identified for possible exploitation. This process, however, should
be computationally simple and fast in order to catch up with the
changing transmission parameters. This paper proposes a sensing
method for identifying the unused spectrum for opportunistic
transmission by estimating the RF transmission parameters of
primary users. The primary users are identified by matching the
a priory information about their transmission characteristics to
the features extracted from the received signal. The application
of the proposed sensing method to WiMAX mobile stations for
finding the active channels during initial network entry is also